Qrs Detection Based On Stockwell Transform

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Date
2018
Author
Alternative metrics PlumX
http://hdl.handle.net/11012/138157
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http://hdl.handle.net/11012/138157
http://hdl.handle.net/11012/138157
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Abstract
This paper deals with the detection of QRS complexes in the ECG record using the Stockwell transform, Shannon Energy and adaptive thresholding. The information about design of the QRS detector and its detection performance is also provided. Sensitivity of our detector achieves 99,80%, it's positive prediction takes value 98,86%.
Keywords
Electrocardiogram, QRS complex, Stockwell transform, Shannon energy, adaptive thresholding, detection
Persistent identifier
http://hdl.handle.net/11012/138157
Document type
Peer reviewed
Document version
xmlui.vut.verze.Publishers's version
Source
Proceedings of the 24th Conference STUDENT EEICT 2018. s. 24-27. ISBN 978-80-214-5614-3
http://www.feec.vutbr.cz/EEICT/
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